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New DIRECT framework enables 3D-aware object insertion with pose control

Researchers have developed a new framework called DIRECT for 3D-aware object insertion into images. This method allows for precise control over the inserted object's pose by decomposing insertion conditions into appearance, geometry, and context guidance. DIRECT aims to overcome the limitations of previous diffusion-based methods that treated insertion as a simple 2D inpainting task, thus offering better geometric controllability and visual quality. AI

IMPACT Enables more precise and controllable image composition for creative and practical applications.

RANK_REASON The cluster contains a research paper detailing a new technical framework. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Jingbo Gong, Yikai Wang, Yushi Lan, Yuhao Wan, Ziheng Ouyang, Rui Zhao, Ming-Ming Cheng, Qibin Hou, Chen Change Loy ·

    Direct 3D-Aware Object Insertion via Decomposed Visual Proxies

    arXiv:2606.06601v1 Announce Type: cross Abstract: Object insertion aims to seamlessly composite a reference object into a specified region of a background image. Recent diffusion-based methods achieve high visual quality but formulate insertion as a simple 2D inpainting task, pro…